The correct answer is the snippet that defines `class Meta(type):` with a `__new__` method that adds `dct['created_by']='Meta'` and returns `super().__new__(cls, name, bases, dct)`. This is correct because a metaclass must inherit from `type`, and overriding `__new__` is the proper hook to intercept and modify the class namespace dictionary (`dct`) before the class object is constructed. The `__new__` method receives the metaclass itself as `cls`, the future class’s name, bases, and namespace, and it must call the parent’s `__new__` to finalize creation. On the PCAP exam, this tests your understanding of metaclass mechanics and the distinction between `__new__` (pre-creation modification) and `__init__` (post-creation setup). A common trap is forgetting to return `super().__new__()` or trying to modify the class after it’s built. Memory tip: think of `__new__` as the “blueprint editor” that tweaks the class dictionary before the class is born.
PCAP Object-Oriented Programming Practice Question
This PCAP practice question tests your understanding of object-oriented programming. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer creates a metaclass 'Meta' that modifies class creation by adding a class attribute 'created_by' set to 'Meta'. Which code snippet correctly defines and uses this metaclass?
Option D is correct because it defines a proper metaclass by subclassing `type` and overriding `__new__`, which is the correct method for modifying the class dictionary before the class is created. The `__new__` method must return the result of `super().__new__(cls, name, bases, dct)` to actually create the class object. Adding `dct['created_by']='Meta'` inside `__new__` ensures the attribute is set during class creation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
class Meta(type): def __new__(cls, name, bases, dct): dct['created_by']='Meta'
Why it's wrong here
This fails to call super().__new__ to actually create the class object.
✗
class Meta(type): def __init__(cls, name, bases, dct): dct['created_by']='Meta'
Why it's wrong here
__init__ cannot modify dct because it runs after class creation; use __new__.
Correctly overrides __new__ and calls super to create the class.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Python Institute often tests the distinction between `__new__` and `__init__` in metaclasses, and the trap here is that candidates mistakenly think `__init__` can modify the class dictionary before class creation, or forget that `__new__` must explicitly return the class object.
Detailed technical explanation
How to think about this question
In Python, metaclasses are classes that inherit from `type` and control class creation. The `__new__` method is a static method that receives the metaclass (`cls`), the class name, bases, and namespace dictionary; it must return a new class object. A common real-world use is in ORMs like SQLAlchemy, where metaclasses automatically add table metadata or validation logic. A subtle behavior: modifying `dct` in `__new__` affects the class namespace before the class is finalized, while `__init__` receives the already-created class object and can only modify it after creation.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Object-Oriented Programming — This question tests Object-Oriented Programming — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: class Meta(type): def __new__(cls, name, bases, dct): dct['created_by']='Meta'; return super().__new__(cls, name, bases, dct) — Option D is correct because it defines a proper metaclass by subclassing `type` and overriding `__new__`, which is the correct method for modifying the class dictionary before the class is created. The `__new__` method must return the result of `super().__new__(cls, name, bases, dct)` to actually create the class object. Adding `dct['created_by']='Meta'` inside `__new__` ensures the attribute is set during class creation.
What should I do if I get this PCAP question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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